Hy-Memory-30B-A3B · IQ1_S
This page aggregates 1 real-world runs of Hy-Memory-30B-A3B (IQ1_S) on NVIDIA H20 with Strata, contributed by 1 independent source platforms; metrics are averages of published measurements.
178.17 tok/s
Decode
Decode speed
571.19 tok/s
Prefill
Prefill speed
2.45 s
TTFT
Time to first token
28.56 GB
VRAM
VRAM usage
1
Measured runs
1
Independent sources
Other
Source platforms
16 days ago
Last verified
Performance
- llama.cpp · Q6_K Decode 57.59 · Prefill 253.97 ·
- Strata · IQ1_S (current)Decode 178.17 · Prefill 571.19 ·
- Strata · IQ3_XS Decode 139.08 · Prefill 595.25 ·
Core figures
- Decode (avg)
- 178.17 tok/s
- Prefill (avg)
- 571.19 tok/s
- TTFT (avg)
- 2.45 s
- VRAM (avg)
- 28.56 GB
- MTP acceptance rate
- 0.68
- TTFB
- 1.43 GB
- Power draw
- 315.4 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Hy-Memory-30B-A3B
- Quantization
- IQ1_S
- Framework
- Strata
- Version
- v0.30
- Context length
- 16384 tokens
- Batch size
- 256
- GPU layers
- 12
- Flash Attention
- On
Hardware
Nominal and measured figures are shown side by side; whether it runs is the reader's call
- GPU
- NVIDIA H20
- Nominal VRAM
- 97 GB
- Measured VRAM (avg)
- 28.56 GB
- OS
- Ubuntu 24.04
- Driver
- 570.86
- CUDA
- 12.6
- Power draw
- 315.4 W
Get started
Original model resources
Base model resources may not match this quantization. Use the verified deployment weights above when available.
Sources & evidence
1 measured records in total, each traceable to its original source
v0.30 · Ubuntu 24.04 · CUDA 12.6 · 16384 ctx
178.17 tok/s
Decode
571.19 tok/s
Prefill
2.45 s
TTFT
28.56 GB
VRAM
0.68
MTP
315.4 W
Power draw
L2 batch seed 2026-10-19: Strata on hw_id=56 running model_id=87 at IQ1_S